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Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
Fed-anids: Federated learning for anomaly-based network intrusion detection systems
As computer networks and interconnected systems continue to gain widespread adoption,
ensuring cybersecurity has become a prominent concern for organizations, regardless of …
ensuring cybersecurity has become a prominent concern for organizations, regardless of …
Insights into Modern Intrusion Detection Strategies for Internet of Things Ecosystems
The swift explosion of Internet of Things (IoT) devices has brought about a new era of
interconnectivity and ease of use while simultaneously presenting significant security …
interconnectivity and ease of use while simultaneously presenting significant security …
Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection
Abstract The Internet of Things (IoT) has been trending in the past few years, posing so
many security problems. IoT Botnets are one of the most serious attacks that threaten the …
many security problems. IoT Botnets are one of the most serious attacks that threaten the …
A federated learning-based approach for improving intrusion detection in industrial internet of things networks
MM Rashid, SU Khan, F Eusufzai, MA Redwan… - Network, 2023 - mdpi.com
The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …
Internet wirelessly. This group of devices generates a large amount of data with information …
Federated quantum-based privacy-preserving threat detection model for consumer internet of things
The Internet of Things (IoT) has significantly impacted the evolution of consumer-oriented
smart environments, primarily due to its capacity for transformative device-to-device …
smart environments, primarily due to its capacity for transformative device-to-device …
Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques
In response to escalating cyber threats and privacy issues within the Industrial Internet of
Things (IIoT), this research presents FedGenID, an advanced Federated Generative …
Things (IIoT), this research presents FedGenID, an advanced Federated Generative …
[HTML][HTML] A federated learning-based zero trust intrusion detection system for Internet of Things
The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …
in diverse applications, including critical infrastructure. While the increasing number of IIoT …
IP2FL: Interpretation-based privacy-preserving federated learning for industrial cyber-physical systems
The expansion of Industrial Cyber-Physical Systems (ICPS) has introduced new challenges
in security and privacy, highlighting a research gap in effective anomaly detection while …
in security and privacy, highlighting a research gap in effective anomaly detection while …